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Articles

Calibration of MEPDG permanent deformation models using Hamburg Wheel Rut Tester and field data

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Pages 4174-4189 | Received 19 Mar 2021, Accepted 24 May 2021, Published online: 11 Jun 2021

References

  • AASHTO, 2015. Mechanistic-empirical pavement design guide, a manual of practice (2nd ed). Washington, DC: American Association of State Highway and Transportation Officials.
  • AASHTO Designation: PP 61, 2015. Standard practice for developing dynamic modulus curves for asphalt mixtures using the asphalt mixture performance tester (AMPT). Washington, DC: AASHTO.
  • AASHTO Designation: T 324, 2011. Standard method of Hamburg wheel-track testing of compacted hot-mix asphalt. Washington, DC: AASHTO.
  • AASHTO Designation: TP 62, 2007. Standard method of test for determining dynamic modulus of hot mix asphalt concrete mixtures. Washington, DC: AASHTO.
  • Abdelfattah, H.F.H., Al-Shamsi, K., and Al-Jabri, K., 2016. Evaluation of rutting potential for asphalt concrete mixes containing copper slag. International Journal of Pavement Engineering, 9 (7), 630–640. doi: 10.1080/10298436.2016.1199875.
  • Al-Qadi, I., et al., 2008a. Dynamic analysis and in situ validation of perpetual pavement response to vehicular loading. Transportation Research Record: Journal of the Transportation Research Board, 2087, 29–39. doi:10.3141/2087-04.
  • Al-Qadi, I., Wei, X., and Elseifi, M.A., 2008b. Frequency determination from vehicular loading time pulse to predict appropriate complex modulus in MEPDG. Journal Association of Asphalt Paving Technologists, 77, 739–772.
  • Al-Shamsi, K., Hassan, H.F., and Mohammed, L.N., 2017. Effect of low VMA in hot mix asphalt on load-related cracking resistance. Construction and Building Materials, 149, 386–394.
  • Bahia, H., et al., 2016. Analysis and feasibility of asphalt pavement performance-based specifications for WisDOT. Madison: WisDOT ID no. 0092-15-04, Wisconsin Department of Transportation.
  • Banerjee, A., Aguiar-Moya, J.P., and Prozzi, J.A., 2009. Calibration of mechanistic-empirical pavement design guide permanent deformation models. Transportation Research Record: Journal of the Transportation Research Board, 2094 (1), 12–20.
  • Bhattacharya, B.B., et al., 2016. Calibration of pavement rutting prediction in Colorado using layer-specific rutting model coefficients for hot-mix asphalt in AASHTOWare pavement ME design. Transportation Research Record: Journal of the Transportation Research Board, 2590 (1), 132–141.
  • Bustos, M., et al., 2011. Calibration of distress models from the mechanistic–empirical pavement design guide for rigid pavement design in Argentina. Transportation Research Record: Transportation Research Record: Journal of the Transportation Research Board, 2226, 3–12. doi: 10.3141/2226-01.
  • Caliendo, C., 2012. Local calibration and implementation of the mechanistic-empirical pavement design guide for flexible pavement design. Journal of Transportation Engineering. ASCE, 138 (3), 348–360.
  • California State Transportation Agency, 2020. Memorandum for Hamburg wheel track test for hot mix asphalt. Sacramento, CA: California Department of Transportation.
  • El-Badawy, S., Bayomy, F., and Awed, A., 2012. Performance of MEPDG dynamic modulus predictive models for asphalt concrete mixtures: local calibration for idaho. Journal of Transportation Engineering, ASCE, 24 (11), 1412–1421.
  • EverStressFE, 2009. Computer software for 3-D finite analysis of flexible pavement structures version 1.0. Orono, ME: University of Maine.
  • Federal Highway Administration (FHWA), 2011. LTPP computed parameter: dynamic modulus, Publication No. FHWA-HRT-10-035. Available from: https://www.fhwa.dot.gov/publications/research/infrastructure/pavements/ltpp/10035/10035.pdf [Accessed 14 March 2021].
  • Federal Highway Administration (FHWA), 2018. Using multi-objective optimization to enhance calibration of performance models in the mechanistic–empirical pavement design guide, Publication No. FHWA-HRT-17-104. Available from: https://www.fhwa.dot.gov/publications/research/infrastructure/pavements/ltpp/17104/17104.pdf [Accessed 14 March 2021].
  • Fugro Roadway. 2021. Automated road analyzer (ARAN 9000). Available from: https://www.fugro.com/our-services/asset-integrity/roadware/equipment-and-software [Accessed 30 April March 2021].
  • Gu, F., et al., 2017. Characterization and prediction of permanent deformation properties of unbound granular materials for Pavement ME design. Construction and Building Materials, 155, 584–592.
  • Hall, K.D., Xiao, D.X., and Wang, K.C.P., 2001. Calibration of the mechanistic–empirical pavement design guide for flexible pavement design in Arkansas. Transportation Research Record: Journal of the Transportation Research Board, 2226 (1), 135–141.
  • He, W., et al., 2011. Evaluation of DARWin-ME pavement rutting prediction models using data from Alberta’s Pavement Management System. In 2011 Conference and exhibition of the transportation association of Canada – Transportation successes: let's build on them, TAC/ATC 2011, 11–14 September 2011, Edmonton, AB. Available from: http://conf.tac-atc.ca/english/annualconference/tac2011/english/papers_by_title.htm [Accessed 14 March 2021].
  • Hoegh, K., Khazanovich, L., and Jensen, M., 2010. Local calibration of mechanistic–empirical pavement design guide rutting model Minnesota road research project test sections. Transportation Research Record: Journal of the Transportation Research Board, 2180 (1), 130–141.
  • Illinois DOT, 2016. Illinois modified test procedure, standard method of test for Hamburg wheel-track testing of compacted hot mix asphalt (HMA). Springfield, IL: Manual of Test Procedures for Materials.
  • Le, A.T., et al., 2011. Development of Korean pavement design guide for asphalt pavements based on the mechanistic-empirical design principle. The Baltic Journal of Road and Bridge Engineering, 6 (3), 169–176.
  • Li, J., Pierce, L.M., and Uhlmeyer, J., 2009. Calibration of flexible pavement in mechanistic-empirical pavement design guide for Washington state. Transportation Research Record: Journal of the Transportation Research Board, 2095 (1), 73–83.
  • LTPP InfoPave, 2021. US Department of Transportation, Federal Highway Administration. Available from: https://infopave.fhwa.dot.gov/ [Accessed 14 March 2021].
  • Ministry of Transportation of Ontario (MTO), 2019. Ontario's default parameters for AASHTOWare pavement ME design – interim report. Materials Engineering and Research Office, Pavement and Foundations Section, Ministry of Transportation Ontario. Available from: https://www.library.mto.gov.on.ca/SydneyPLUS/Sydney/Portal/default.aspx?component=AAAAIY&record=89a3febc-f471-4f73-8f3b-4a5c52068874 [Accessed 14 March 2021].
  • Mohammad, Louay N., et al., 2015. Hamburg wheel-track test equipment requirements and improvements to AASHTO T 324. NCHRP 219. Baton Rouge. doi:10.17226/21931
  • Muthadi, N. R., and Kim, Y.R., 2008. Local calibration of mechanistic-empirical pavement design guide for flexible pavement design. Transportation Research Record: Journal of the Transportation Research Board, 2087 (1), 131–141.
  • NCHRP 09-29 Mastersolver, 2009. Mastersolver version 2-2. Available from: http://onlinepubs.trb.org/onlinepubs/nchrp/docs/NCHRP09-29_mastersolver2-2.xls [Accessed 14 March 2021].
  • NCHRP, 2004. Guide for mechanistic-empirical design of new and rehabilitated pavement structures. Washington, DC: Transportation Research Board, National Cooperative Highway Research Program, NCHRP 1-37A Final Report.
  • Ontario Provincial Standard Specification (OPSS), 2018. Material specification for hot mix asphalt, OPSS.MUNI 1150, November 2018. Available from: https://www.roadauthority.com/Standards/?id=8d89de57-a550-4a06-affd-e91f460bdf9e [Accessed March 14 2021].
  • Schram, S., 2013. Evaluation of bias in the Hamburg wheel tracking device final report RB00-010. Ames, IA: Iowa Department of Transportation, Office of Construction and Materials.
  • SigmaPlot, 2006. SigmaPlot version 10.0 user’s guide. Chicago, IL: Systat Software.
  • Souliman, M., et al., 2010. Calibration of the AASHTO MEPDG For flexible pavement for Arizona conditions. In Paper submitted for presentation and publication to the 89th annual meeting of the transportation research board.
  • Tian, Y., et al., 2018. Calibrating the mechanistic–empirical pavement design guide rutting models using accelerated pavement testing. Transportation Research Record: Journal of the Transportation Research Board, 2672 (40), 304–314.
  • Waseem, A., and Yuan, X.X., 2013. Longitudinal local calibration of MEPDG permanent deformation models for reconstructed flexible pavements using OMS data. Chinese Society of Pavement Engineering: International Journal of Pavement Research and Technology, 6 (4), 304–312.
  • Yin, F., et al., 2020. Determining the relationship among HamburgWheel-tracking test parameters and correlation to field performance of asphalt pavements. Transportation Research Record: Transportation Research Record: Journal of the Transportation Research Board, 2674 (4), 281–291. doi: 10.1177/0361198120912430.
  • Yuan, X., and Nemtsov, I., 2018. Local calibration of the MEPDG distress and performance models for Ontario’s flexible roads: overview, impacts, and reflection. Transportation Research Record: Journal of the Transportation Research Board, 2672 (40), 207–216.

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